刘锦科研成果

个人简介 刘锦，男，中南大学计算机学院副教授，博/硕士研究生导师，湖南省普通高校青年骨干教师，CCF高级会员，CSIG脑图谱专业委员会委员，CCF生物信息学专委会委员，湖南省神经科学学会帕金森病及运动障碍疾病专委会委员，主要研究方向是人工智能、医疗及健康大数据分析与挖掘、健康监测智能设备研发等。目前已在IEEE TMI、MedIA、IEEE/ACM TCBB、ACL、AAAI等国际学术期刊或会议上发表高水平学术论文60余篇，其中1篇Featured Article，ESI Top 1% 高被引论文6篇，最佳论文奖5次，据Google Scholar统计显示总引用2800余次，单篇最高引用400余次，h指数为27，《Big Data Mining and Analytics》，《工程科学学报》等国内外期刊青年编委。主持或作为科研骨干参与国家重点研发计划、国家自然科学基金面上基金、湖南省重点领域研发计划等省部级科研项目10余项，荣获湖南省优秀博士论文，中国研究型医院学会医学研究创新二等奖、湖南省医学会医学科学技术奖一等奖等多项学术奖励。 欢迎在读本科生、硕博士生加盟团队或短期交流，一起做一些有利于国家和个人发展的学术成果。 代表性论文:(DBLP、Google Scholar) 【1】Jin Liu, Xiaokang Pan, Junwen Duan, Hong-Dong Li, Youqi Li, and Zhe Qu. Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 38(12), 13927-13935, 2024. 【2】Jin Liu, Hao Du, Rui Guo, Harrison X. Bai, Hulin Kuang, and Jianxin Wang. MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Transactions on Computational Social Systems, 11(1): 389-398, 2024. 【3】Rui Guo, Xu Tian, Hanhe Lin, Stephen McKenna, Hongdong Li, Fei Guo, and Jin Liu*. Graph-based Fusion of Imaging, Genetic and Clinical data for Degenerative Disease Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(1): 57- 68, 2024. 【4】Jin Liu, Weixing Zeng, Shichao Kan, Min Li, Ruiqing Zheng, CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification, Briefings in Bioinformatics, 25(1), bbad475, 2024. 【5】Junwen Duan, Fangyuan Wei, Hongdong Li, Tianming Liu, Jianxin Wang and Jin Liu*. CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. Findings of the Association for Computational Linguistics: ACL 2023, 1819–1826. 【6】Jianhong Cheng, Jin Liu*, Hulin Kuang, and Jianxin Wang. A Fully Automated Multimodal MRI-based Multi-task Learning for Glioma Segmentation and IDH Genotyping. IEEE Transactions on Medical Imaging, 41(6): 1520-1532, 2022. （ESI高被引） 【7】Junjian Li, Jin Liu*, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yuping Wang, and Jianxin Wang. DARC: Deep Adaptive Regularized Clustering for Histopathological Image Classification. Medical Image Analysis, 80: 102521, 2022. 【8】Jianhong Cheng, Jin Liu*, Hailin Yue, Harrison Bai, Yi Pan, and Jianxin Wang. Prediction of Glioma Grade using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(2): 1084-1095, 2022.  【9】Ningzhi Gou, Yizhen Xiang, Jiansong Zhou, Simei Zhang, Shaoling Zhong, Juntao Lu, Xiaoxi Liang, Jin Liu*, and Xiaoping Wang. Identification of Violent Patients with Schizophrenia Using a Hybrid Machine Learning Approach at the Individual Level. Psychiatry Research, 306: 114294, 2021. 【10】Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2):624-632. 2018. (Featured Article, ESI 高被引) 教育经历 [1]   2013.9-2017.11 中南大学  |  计算机科学与技术  |  博士学位  |  博士研究生毕业 [2]   2010.9-2013.6 中国科学院大学  |  计算机技术  |  硕士学位  |  硕士研究生毕业 工作经历 [1]   2018.3-至今 中南大学  |  计算机学院  |  讲师、副教授 研究方向 [1]  人工智能、医疗及健康大数据分析与挖掘、健康监测智能设备研发 内容来自集群智慧云企服 发明专利4999元代写全部资料全国受理